3D Hand Mesh Reconstruction from Monocular Image by using Intermediate Representations

Tsung Han Tsai, Jia Yang Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose a complete end-to-end network architecture to estimate 3D hand mesh from RGB hand images. We use ResNet-50 to extract the image features, and for better regression of model parameters later, we obtain some 2D feature maps, such as 2D heatmap and mask images, through some convolutional layers. In the model parameter regression part, we use the fully connected layer for iterative regression of the model parameters.

Original languageEnglish
Title of host publication2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages565-566
Number of pages2
ISBN (Electronic)9798350324174
DOIs
StatePublished - 2023
Event2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
Duration: 17 Jul 202319 Jul 2023

Publication series

Name2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/TerritoryTaiwan
CityPingtung
Period17/07/2319/07/23

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